Introduction to Data Science and scikit-learn in Python

This course will teach you how to leverage the power of Python and artificial intelligence to create and test hypothesis. We’ll start for the ground up, learning some basic Python for data science before diving into some of its richer applications to test our created hypothesis. We’ll learn some of the most important libraries for exploratory data analysis (EDA) and machine learning such as Numpy, Pandas, and Sci-kit learn. After learning some of the theory (and math) behind linear regression, we’ll go through and full pipeline of reading data, cleaning it, and applying a regression model to estimate the progression of diabetes. By the end of the course, you’ll apply a classification model to predict the presence/absence of heart disease from a patient’s health data.

• Employ artificial intelligence techniques to test hypothesis in Python

• Apply a machine learning model combining Numpy, Pandas, and Scikit-Learn

Syllabus

Syllabus - What you will learn from this course
Week 1
Introduction to Python Programming for Hypothesis Testing
Week 2
Creating a Hypothesis: Numpy, Pandas, and Scikit-Learn
Week 3
Scikit-Learn Revisited: ML for Hypothesis Testing
Week 4
Using Classification to Predict the Presence of Heart Disease

FAQ

When will I have access to the lectures and assignments?

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Reviews

The topic is great, and the linkage and references provided are valuable.

The hands-on quiz should be supported with better instructions and descriptions regarding what to do.

It could be better if we can see where we did wrong after each assignment. Good and well-paced course otherwise

Good introduction. A bit too short for a 4-week course. The autograder is not very good, and some solutions are wrong.